Braintrust is hiring a
Systems and Data Scientist
Braintrust
π΅ $135k-$150k
πRemote - United States
Please let Braintrust know you found this job on JobsCollider. Thanks! π
Summary
The job description is for a Systems and Data Scientist position at Summit Wash Holdings, requiring 3-5 years of experience and a Bachelor's degree in Computer Science or related field. The role involves driving innovation, leading technical systems development, data science & AI/ML modeling, quality assurance, continuous improvement, and mentorship. The position is a Direct Hire/FTE located in Norwalk, CT or Palm Beach Gardens, FL.
Requirements
- Education: Bachelor's degree in Computer Science, Data Science, or a related field
- Experience: 5+ years of experience in systems development, with a strong emphasis on ETL/ELT processes
- Proven expertise in designing and implementing ML/AI models and other data-driven solutions
- Familiarity with integrated business systems such as ERP, CRM, HRIS, WFM, and others
Responsibilities
- Research and Innovation: Drive innovation by researching new methodologies and technologies to enhance our system's capabilities and performance
- Stay abreast of industry trends and integrate cutting-edge solutions into our existing systems
- Technical Systems Development: Lead the design, development, and optimization of ETL/ELT processes, ensuring efficient and accurate data integration
- Oversee the end-to-end design and implementation of integrated business systems such as ERP, CRM, WFM, HRIS, and others
- Data Science & AI/ML Modeling: Harness the power of data, designing and implementing machine learning and AI models that address complex business challenges
- Collaborate with stakeholders to ensure models align with business objectives and drive desired outcomes
- Quality Assurance and Continuous Improvement: Develop and implement testing procedures to ensure the robustness and accuracy of systems and models
- Lead initiatives to continuously refine and improve our technical processes and solutions
- Mentorship and Knowledge Sharing: Share insights and findings from research initiatives with the broader team, promoting a culture of continuous learning
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